The regime-switching risk premium in the gold futures market

A bivariate Markov-switching model identifies two regimes in the futures-price and risk-premium models. The persistent underlying states have very different implications for spot and risk-premium forecasts. In the “low” state, a positive bias predicts spot price appreciation. The “high” state is associated with lower spot appreciation and higher risk premiums. The regime-switching framework provides a new perspective on the intertemporal role of gold as a hedge or safe-haven asset. The gold spot-price appreciation regime is shown to be correlated with higher inflation rates and the complement regime is associated with high market returns and stock market risk premia. Since the state-space methodology procedure can be employed using only past data, forecasts of the persistent unobserved underlying state of the gold price appreciation regime will be augmented as more data becomes available.     

Explaining the Czech interbank market risk premium

This paper focuses on the development of the interbank market risk premium in the Czech Republic during the global financial crisis. We explain the significant departure of interbank interest rates from the key monetary policy rate by a combination of different factors, including liquidity risk, counterparty risk, foreign influence, interbank relations, and strategic behavior. The results suggest a relevant role of market factors and some importance of counterparty risk.     

Forecasting risk in the US Dollar exchange rate under volatility shifts

Recent evidence suggests that volatility shifts (i.e. structural breaks in volatility) in returns increases kurtosis which significantly contributes to the observed non-normality in market returns. In this paper, we endogenously detect significant shifts in the volatility of US Dollar exchange rate and incorporate this information to estimate Value-at-Risk (VaR) to forecast large declines in the US Dollar exchange rate. Our out-of-sample performance results indicate that a GARCH model with volatility shifts produces the most accurate VaR forecast relative to several benchmark methods. Our contribution is important as changes in US Dollar exchange rate have a substantial impact on the global economy and financial markets.     

The VIX,the variance premium and stock market volatility

We decompose the squared VIX index, derived from US S&P500 options prices, into the conditional variance of stock returns and the equity variance premium. We evaluate a plethora of state-of-the-art volatility forecasting models to produce an accurate measure of the conditional variance. We then examine the predictive power of the VIX and its two components for stock market returns, economic activity and financial instability. The variance premium predicts stock returns while the conditional stock market variance predicts economic activity and has a relatively higher predictive power for financial instability than does the variance premium.     

Jump probability using volatility periodicity filters in US Dollar/Euro exchange rates

The discrete daily and intraday jump probabilities of US dollar/euro returns from February 2010 to February 2018 are analyzed using five-minute returns considering several periodicity filters of volatility. When the max outlying statistics are used with Gumbel distribution with periodicity filters such as weighted standard deviation, shortest half scale, and median absolute deviation, the empirical estimates show that the five-minute US dollar/euro returns have lower daily jump probabilities by 13–28% at common critical levels. To detect intraday jumps using the max outlying Gumbel jump statistics, the five-minute US dollar/euro returns have lower daily jump probabilities by 2–10% when the periodicity filters are included at common critical levels. Therefore, when the periodicity filters of volatility are considered, the five-minute US dollar/euro returns have significantly lower daily and intraday jump probabilities than when the periodicity filters are not considered.     

Comprehensive analysis of market conditions in the foreign exchange market

We investigate quotation and transaction activities in the foreign exchange market for every week during the period of June 2007 to December 2010. A scaling relationship between the mean values of number of quotations (or number of transactions) for various currency pairs and the corresponding standard deviations holds for a majority of the weeks. However, the scaling breaks in some time intervals, which is related to the emergence of market shocks. There is a monotonous relationship between values of scaling indices and global averages of currency pair cross-correlations when both quantities are observed for various window lengths ?? t.     

基于CAPM的黄金风险溢价研究

运用CAPM理论中的边际风险价格的概念,通过分析一个包含了黄金市场和股票市场在内的市场资产组合,定量给出了黄金的风险溢价.同时检验了黄金收益是否在CAPM框架内有效.在与我国股市进行比较之后,得出投资者可将黄金包括到投资组合中去,以取得更好的风险收益比.     

基于CAPM的黄金风险溢价研究

运用CAPM理论中的边际风险价格的概念,通过分析一个包含了黄金市场和股票市场在内的市场资产组合,定量给出了黄金的风险溢价。同时检验了黄金收益是否在CAPM框架内有效。在与我国股市进行比较之后,得出投资者可将黄金包括到投资组合中去,以取得更好的风险收益比。     

Time series estimation of the bond default risk premium

The bond default risk premium, measured by the spread between higher and lower grade bond returns, is often estimated with univariate time series procedures and used as an input in financial models. In this paper, time series properties of the historical default risk premium are analyzed and forecasting results from univariate time series models are compared. An autoregressive model with an overreaction component provides the best statistical fit for the bond default risk premium series. A random walk model exhibits the worst fit. The findings are robust over a variety of model specifications and measurement choices. For all forms of the time series process the univariate time series models explain a small percentage of the variation in the default risk premium, raising questions about traditional approaches to estimating the expected default risk premium.     

对人民币国际化的思考——基于美元、日元、欧元国际化的比较

基于对美元、日元、欧元国际化历程的对比,对人民币国际化现状进行的分析发现,虽然中国经济的快速增长和金融市场的健康发展为人民币国际化奠定了一定的现实基础,但是人民币和国际货币之间还存在着很大差距,必须从逐步实现资本项目下人民币可自由兑换、促进人民币区域化、改善外部环境、构建人民币回流机制等方面来进一步推进人民币国际化。     

The market for crash risk

This paper examines the equilibrium when stock market crashes can occur and investors have heterogeneous attitudes towards crash risk. The less crash averse insure the more crash averse through options markets that dynamically complete the economy. The resulting equilibrium is compared with various option pricing anomalies: the tendency of stock index options to overpredict volatility and jump risk, the Jackwerth [Recovering risk aversion from option prices and realized returns. Review of Financial Studies 13, 433–451] implicit pricing kernel puzzle, and the stochastic evolution of option prices. Crash aversion is compatible with some static option pricing puzzles, while heterogeneity partially explains dynamic puzzles. Heterogeneity also magnifies substantially the stock market impact of adverse news about fundamentals.     

Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces

This paper presents static and dynamic versions of univariate, multivariate, and multilevel functional time-series methods to forecast implied volatility surfaces in foreign exchange markets. We find that dynamic functional principal component analysis generally improves out-of-sample forecast accuracy. Specifically, the dynamic univariate functional time-series method shows the greatest improvement. Our models lead to multiple instances of statistically significant improvements in forecast accuracy for daily EUR–USD, EUR–GBP, and EUR–JPY implied volatility surfaces across various maturities, when benchmarked against established methods. A stylised trading strategy is also employed to demonstrate the potential economic benefits of our proposed approach.     

Technology and market structure in the analysis of exchange

Economists treat the ‘market’ as a black box in which prices rise and fall to equate supplies with demands. Obviously, however, markets are usually collections of institutions. Using conventional methods of economic analysis, it is argued that certain physical characteristics of commodities, the technologies of their production and use, and buyer and seller concentration lead to the development of particular institutional arrangements composing markets. These institutional arrangements are efficient in the sense that they require the least use of resources in effecting transactions.     

Non-linear,hybrid exchange rate modeling and trading profitability in the foreign exchange market

A neuro-fuzzy decision-making technology is designed and implemented to obtain the optimal daily currency trading rule. It is found that a non-linear, artificial neural network exchange rate microstructure (hybrid) model combined with a fuzzy logic controller generates a set of trading strategies that earn a higher rate of return compared to the simple buy-and-hold strategy. After accounting for realistic transaction costs, the gains from utilizing a dynamic, neuro-fuzzy model are still present.     

Dynamics of quote and deal prices in the foreign exchange market

We empirically investigate price fluctuations of yen-dollar exchange rate using the high-frequency data recorded in the electronic broking system for seven-year period. The distribution of quote price changes has symmetric fat-tails approximated by a power law; however, that of deal price is asymmetrical. The autocorrelation function and diffusion of price changes indicate that quote price exhibits anti-correlation feature in short time scale, whereas deal price is essentially uncorrelated. The bid-ask spread shows power-law distribution and long range temporal correlations similar to that observed in absoute price changes.      

Forecasting the effect of an environmental change on market performance: An intervention time-series approach

Forecasting the effects of changes in advertising or pricing strategies on a company's sales or market share is an important task faced by marketing managers. This paper applies a time series approach, intervention analysis, to several marketing policy applications illustrating the flexibility and value of the method for testing hypotheses and providing forecasts. Empirical evidence is presented for two different marketing situations, one that involves a change in advertising and another that involves offering price specials.     

A note on the foreign exchange market efficiency hypothesis

This paper examines the weak and strong forms of the foreign exchange market efficiency hypothesis (MEH) (as defined in the paper) using the recently available Harris-Inder null of cointegration procedure, which is powerful enough to distinguish between cointegration and near cointegration, and thus provide more robust results than conventional cointegration tests. Our results indicate that both forms of the MEH are rejected for all the major currencies of the European Economic Community (EEC). (JEL F310).     

The equity premium in an overlapping-generations economy

In a recent paper, Constantinides, Donaldson and Mehra (CDM) present a convincing economic story that could simultaneously explain a high equity premium and a low risk-free rate. The argument is based on the effect of a borrowing restriction in an overlapping-generations model (OLG) with three generations. This paper investigates the effect of borrowing restrictions on the size of the equity premium in a model similar to CDM, but with a complete structure of contingent claims. The main conclusion of the analysis is that the results obtained by CDM follow from the particular market structure adopted in the model rather than the effects of the life cycle. Once the markets are completed, the equity premium and the risk-free rate in the OLG economy are identical to those obtained in a representative-agent (RA) economy.     

A note on the relation between the equity risk premium and the term structure

We show that nonlinearity in the relation between the equity premium and the slope of the term structure has two dimensions, namely asymmetry between positively and negatively sloped term structures, and regime switching. Asymmetry is uncovered only if volatility regime switching is allowed in equity premium dynamics. Predictive power for the equity premium arises only from the positively sloped term structure, and only in periods of low volatility of the equity premium.